{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "discoverer", "vulnerable system", "vulnerable system owner", "capabilities"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "time", "attacker", "compromised data", "tool", "victim", "attack pattern", "number of data"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch number", "time", "vulnerable system", "common vulnerabilities and exposures", "patch", "vulnerable system version", "releaser"]}, {"event_type": "phishing", "trigger": true, "arguments": ["victim", "purpose", "attack pattern", "tool", "place", "damage amount", "trusted entity", "attacker"]}], "input": "Phishing takes place when a fraudster tricks an individual into sharing sensitive information ( account numbers , Social Security numbers , login credentials , etc. ) by way of fraudulent emails , texts , or counterfeit websites ."}
{"discover vulnerability": [], "data breach": [], "patch vulnerability": [], "phishing": [{"trigger": "Phishing", "arguments": {}}]}